Python examples for the course "Multimodal Information Processing & Analysis" of the MSc in Data Science in NCSR Demokritos
Momentum AI course in machine learning
PyMC educational resources
This repo contains the projects made for the course of Jose Portilla on Udemy.
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Examples of applied machine learning
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
Python examples for the Machine Learning Course at MSc of AI at NCSR Demokritos
Jupyter notebooks for demo/projects, now that github supports them
Medical data processing and ML workshops
Scikit-learn tutorial at SciPy2016
Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
Introduction to Python for Data Science
Doing Bayesian statistics in Python!